Against the backdrop of accelerated development of new forms of trade,the question of whether rapid expansion of cross-border e-commerce(CBEC)can help to reduce carbon emissions among Chinese enterprises is of great s...Against the backdrop of accelerated development of new forms of trade,the question of whether rapid expansion of cross-border e-commerce(CBEC)can help to reduce carbon emissions among Chinese enterprises is of great significance for seizing new opportunities in foreign trade,and advancing firms’green and low-carbon transformation.This study treats the creation of CBEC pilot zones as a quasi-natural experiment,employing panel data from Chinese A-share listed companies matched with city-level information from 2006 to 2021.We construct a multi-period difference-in-differences model to identify the impact of CBEC pilot zone policy on corporate carbon emissions.Our findings indicate the construction of these pilot zones significantly reduces firms’carbon emissions intensity,and the results are robust across multiple tests.We show the pilot zone initiative contributes to emission reductions by enhancing the adoption of digital infrastructure,promoting green technological innovation,and increasing environmental awareness among enterprises.Quantile regressions reveal pilot zones exert a more pronounced carbon-reduction effect on firms characterized by high carbon emissions intensity and advanced levels of digital transformation.Moreover,the policy effect is especially significant in heavily polluting industries,and regions with weaker governmental environmental regulations or lower public environmental concerns.This study makes an innovative contribution to the literature by empirically verifying the environmental governance effect of establishing CBEC pilot zones,and offers practical guidance for governments in formulating cross-border e-commerce policies and for enterprises pursuing low carbon development.展开更多
The Fourth Industrial Revolution has endowed the concept of state sovereignty with new era-specific connotations,leading to the emergence of the theory of data sovereignty.While countries refine their domestic legisla...The Fourth Industrial Revolution has endowed the concept of state sovereignty with new era-specific connotations,leading to the emergence of the theory of data sovereignty.While countries refine their domestic legislation to establish their data sovereignty,they are also actively engaging in the negotiation of cross-border data flow rules within international trade agreements to construct data sovereignty.During these negotiations,countries express differing regulatory claims,with some focusing on safeguarding sovereignty and protecting human rights,some prioritizing economic promotion and security assurance,and others targeting traditional and innovative digital trade barriers.These varied approaches reflect the tension between three pairs of values:collectivism and individualism,freedom and security,and tradition and innovation.Based on their distinct value pursuits,three representative models of data sovereignty construction have emerged globally.At the current juncture,when international rules for digital trade are still in their nascent stages,China should timely establish its data sovereignty rules,actively participate in global data sovereignty competition,and balance its sovereignty interests with other interests.Specifically,China should explore the scope of system-acceptable digital trade barriers through free trade zones;integrate domestic and international legal frameworks to ensure the alignment of China’s data governance legislation with its obligations under international trade agreements;and use the development of the“Digital Silk Road”as a starting point to prioritize the formation of digital trade rules with countries participating in the Belt and Road Initiative,promoting the Chinese solutions internationally.展开更多
In the context of today's big data and cloud computing,the global flow of data has become a powerful driver for international economic and investment growth.The EU and the U.S.have created two different paths for ...In the context of today's big data and cloud computing,the global flow of data has become a powerful driver for international economic and investment growth.The EU and the U.S.have created two different paths for the legal regulation of the cross-border flow of personal data due to their respective historical traditions and realistic demands.The requirements for data protection have shown significant differences.The EU advocates localization of data and firmly restricts cross-border flow of personal data.The U.S.tends to protect personal data through industry self-regulation and government law enforcement.At the same time,these two paths also merge and supplement with each other.Based on this,China needs to learn from the legal regulatory paths of the EU and the US,respectively,to establish a legal idea that places equal emphasis on personal data protection and the development of the information industry.In terms of domestic law,the Cybersecurity Law of the People's Republic of China needs to be improved and supplemented by relevant supporting legislation to improve the operability of the law;the industry self-discipline guidelines should be established;and various types of cross-border data need to be classified and supervised.In terms of international law,it is necessary to participate in international cooperation based on the priority of data sovereignty and promote the signing of bilateral,multilateral agreements,and international treaties on the cross-border flow of personal data.展开更多
The phenomenon of global fragmented production and associated trade in intermediate products,including intangible assets,has changed how economists study globalization and how new public policies are shaped.Understand...The phenomenon of global fragmented production and associated trade in intermediate products,including intangible assets,has changed how economists study globalization and how new public policies are shaped.Understanding cross-border flows of disembodied knowledge,often associated with intellectual property(IP),is essential for analyzing how modern economies operate.Available data to document these international IP-related knowledge flowsdnamely cross-border payments for IPdare distorted by various factors.Tax planning by multinational enterprises has seriously distorted the measurement of cross-border IP flows,affecting national measurements of imports,exports,GDP,and productivity.The tax-induced mismeasurement could be more than 35% of global charges for use of intellectual property,and greater for individual countries,particularly high-taxrate countries.International initiatives to address the effects of tax base erosion,profit shifting,and other statistical initiatives on global value chains will improve future measurements of cross-border IP flows,improving the understanding of both the creation and uses of IP.展开更多
Based on the global asset portfolio model,this paper created a panel threshold model using EPFR fund data to empirically test the non-linear spillover effects of US economic policy uncertainties on cross-border capita...Based on the global asset portfolio model,this paper created a panel threshold model using EPFR fund data to empirically test the non-linear spillover effects of US economic policy uncertainties on cross-border capital flow for emerging economies.Our study led to the following findings:(1)When the level of global investor risk tolerance is high,rising US EPU will induce a capital inflow into emerging economies,as manifested in the“portfolio rebalancing effect.”When the level of global investor risk tolerance is below a critical threshold,this gives rise to risk aversion and emerging economies will experience net capital outflow,i.e.the“flight to quality effect”.(2)Equity fund investors have a lower risk tolerance threshold than bond fund investors.(3)According to our heterogeneity analysis,more attention should be paid to monitoring capital flow through actively managed funds,ETF funds,and retail investor funds.The economy should increase financial efficiency and economic resiliency to mitigate capital outflow pressures from the external environment.展开更多
Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,th...Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”展开更多
Cross-border e-commerce has emerged as a new growth point in foreign trade.While the Dalian comprehensive pilot zone has made some progress,its development is constrained by issues such as the global economic slowdown...Cross-border e-commerce has emerged as a new growth point in foreign trade.While the Dalian comprehensive pilot zone has made some progress,its development is constrained by issues such as the global economic slowdown,the relatively small scale of cross-border e-commerce,a high concentration of export commodities,imperfect information mechanisms,and high overall costs.To address these challenges,this paper explores the importance of the construction of the Dalian comprehensive pilot zone for cross-border e-commerce to the transformation and upgrading of exports.Based on my research project,“Research on Path Optimization of Financial Support for the Development of Advanced Manufacturing Clusters in Dalian,”this paper analyzes the current challenges and limiting factors and proposes corresponding countermeasures and suggestions.展开更多
The digital development rights in developing countries are based on establishing a new international economic order and ensuring equal participation in the digital globalization process to achieve people's well-ro...The digital development rights in developing countries are based on establishing a new international economic order and ensuring equal participation in the digital globalization process to achieve people's well-rounded development in the digital society.The relationship between cross-border data flows and the realization of digital development rights in developing countries is quite complex.Currently,developing countries seek to safeguard their existing digital interests through unilateral regulation to protect data sovereignty and multilateral regulation for cross-border data cooperation.However,developing countries still have to face internal conflicts between national digital development rights and individual and corporate digital development rights during the process of realizing digital development rights.They also encounter external contradictions such as developed countries interfering with developing countries'data sovereignty,developed countries squeezing the policy space of developing countries through dominant rules,and developing countries having conflicts between domestic and international rules.This article argues that balancing openness and security on digital trade platforms is the optimal solution for developing countries to realize their digital development rights.The establishment of WTO digital trade rules should inherently reflect the fundamental demands of developing countries in cross-border data flows.At the same time,given China's dual role as a digital powerhouse and a developing country,it should actively promote the realization of digital development rights in developing countries.展开更多
Against the backdrop of economic globalization and the rapid growth of cross-border e-commerce,the overseas expansion of smart home products heavily relies on the translation quality of technological elements within m...Against the backdrop of economic globalization and the rapid growth of cross-border e-commerce,the overseas expansion of smart home products heavily relies on the translation quality of technological elements within marketing copy.This paper focuses on four core technological elements in smart home marketing copy on cross-border e-commerce platforms.Using Skopos Theory as a framework,it analyzes translation difficulties such as inconsistent terminology and imbalance between technical precision and accessibility.It constructs a five-dimensional translation strategy,“Precision+Accessibility+Localization+Structuring+Standardization”,and validates its effectiveness.This provides guidance for enterprises to enhance overseas marketing efficiency and enriches the research value of translation in the cross-border e-commerce vertical field.展开更多
To investigate the influence of Al-Zn-Mg-Cu alloy with as-homogenized and as-rolled initial microstructures on the tensile flow behavior,isothermal tensile tests were conducted on a GLEEBLE-3500 isothermal simulator a...To investigate the influence of Al-Zn-Mg-Cu alloy with as-homogenized and as-rolled initial microstructures on the tensile flow behavior,isothermal tensile tests were conducted on a GLEEBLE-3500 isothermal simulator at temperatures of 380-440℃and strain rates of 0.05-1 s^(−1).The Johnson-Cook model,Hensel-Spittel model,strain-compensated Arrhenius model,and critical fracture strain model were established.Results show that through the evaluation of the models using the correlation coefficient(R)and the average absolute relative error,the strain-compensated Arrhenius model can represent the flow behavior of the alloy more accurately.Shear bands are more pronounced in the as-homogenized specimens,whereas dynamic recrystallization is predominantly observed in as-rolled specimens.Fracture morphology analysis reveals that a mixed fracture mechanism is prevalent in the as-homogenized specimen,whereas a ductile fracture mechanism is predominant in the as-rolled specimen.The processing maps indicate that the unstable region is reduced in the as-rolled specimens compared with that in the as-homogenized specimens.The optimal hot working windows for the as-homogenized and as-rolled specimens are determined as 410-440℃/0.14-1 s^(−1)and 380-400℃/0.05-0.29 s^(−1),respectively.展开更多
Vanadium redox flow batteries(VRFBs)are a means of large-scale energy storage due to their excellent scalability,safety,long cycling life,and decoupled power and energy capacities.However,the slow redox kinetics of va...Vanadium redox flow batteries(VRFBs)are a means of large-scale energy storage due to their excellent scalability,safety,long cycling life,and decoupled power and energy capacities.However,the slow redox kinetics of vanadium species on conventional carbon electrodes remains a major limitation to their performance.We investigated the deposition of carbon black,carbon nanotubes,and electrochemically exfoliated graphene(Exf-Gr)onto thermally-activated carbon paper(ACP)by spray coating to increase the electrode electrocatalytic activity.The modified electrodes were characterized using scanning electron microscopy,X-ray diffraction,Raman spectroscopy,X-ray photoelectron microscopy,and surface area analysis,while their electrochemical properties were evaluated by cyclic voltammetry,electrochemical impedance spectroscopy,and singlecell VRFB testing.Among the modified electrodes,Exf-Gr/ACP had the best performance,achieving a 2.9-fold reduction in charge transfer resistance compared to pristine ACP and delivering 2.5 times the discharge capacity in single-cell tests.This improvement is attributed to Exf-Gr’s high surface area,favorable catalytic activity,and excellent dispersion on the ACP substrate.Surface modification with electrochemically exfoliated graphene is a highly effective strategy for improving the electrode performance in VRFB systems,with significant implications for large-scale energy storage.展开更多
Large-eddy simulation(LES)is conducted to study the statistical properties of mixed-phase turbulence induced by the breaking of bow waves in flow past a partially submerged plate.The simulation is performed using a fi...Large-eddy simulation(LES)is conducted to study the statistical properties of mixed-phase turbulence induced by the breaking of bow waves in flow past a partially submerged plate.The simulation is performed using a finite difference method,with the air-water interface captured by a coupled level-set and volume-of-fluid method.Four cases are conducted to investigate the effects of Froude number on turbulent statistics,including the mean velocity,turbulence kinetic energy,and turbulence mass flux(TMF),which is an additional unclosed term in the Reynolds-averaged momentum equation.The TMF,especially its vertical component,shows a complex behaviour with respect to the Froude number.This property of the TMF imposes high demands on the robustness of the closure model of TMF.The present LES data is further used to examine a closure model of the TMF production term,which shows a high correlation with the data obtained from LES.展开更多
Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's per...Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's performance.The multiscale mixing phenomenon in a typical high-pressure turbine rotor flow was studied in this work.The contributions of various scale flows to entropy production and mixing properties were identified.The corresponding physical mechanisms at different scales were explored.It is shown that the large-scale and time-averaged flow contributions to mixing are significant,accounting for approximately 37.1% and 25% of the total.Time-averaged and large-scale flows cause the majority of the fluid deformation of the material surface,while mesoand small-scale flows just generate finer deformations.It raises the area stretch coefficient and the virtual concentration gradient.Thus,mixing is enhanced.Furthermore,time-averaged and large-scale flows account for the majority of the losses in the upstream and downstream regions of the blade tip respectively,accounting for approximately 53.8%and 33.5%of the total.The sheet-like structures—rather than the tip leaking vortex—are the primary source of the loss.High-dissipation regions are produced by the sheet-like structures via the pressure Hessian term and the self-amplification terms.展开更多
A 3D mathematical model was established to investigate the gas-liquid two-phase flow in Ruhrstahl-Heraeus(RH)vacuum refining process.The flow characteristics of molten steel were calculated using the coupled standard...A 3D mathematical model was established to investigate the gas-liquid two-phase flow in Ruhrstahl-Heraeus(RH)vacuum refining process.The flow characteristics of molten steel were calculated using the coupled standard k-εmodel and volume of fluid model.The bubble distribution was tracked by discrete phase model.Electromagnetic field was applied in the up-leg snorkel to enhance the effect of vacuum refining.The effect of swirling flow nozzles combined with electromagnetic stirring(EMS)on the flow characteristics of molten steel and bubble distribution was analyzed.The erosion of the up-leg snorkel was compared.The results show that when the swirling flow nozzles are used,the bubbles exhibit a distinct adherent rising behavior,and the refining efficiency decreases.In addition,the electromagnetic field can significantly improve the refining efficiency,but it brings stronger erosion to the up-leg snorkel.Nevertheless,when using the swirling flow nozzles combined with EMS,the refining performance is further optimized,and the erosion of the up-leg snorkel is also reduced due to its characteristic of bubble distribution.Compared to conventional nozzles,the mixing time was shortened by 16.2%,the recirculation rate increased by 12.5%.and the swirling intensity was strengthened by 8.9%.展开更多
Slug flow represents one of the most critical and operationally challenging regimes in oil-gas-water multiphase pipelines.To advance both mechanistic understanding and predictive capability,this study integrates physi...Slug flow represents one of the most critical and operationally challenging regimes in oil-gas-water multiphase pipelines.To advance both mechanistic understanding and predictive capability,this study integrates physical analysis with data-driven modeling to elucidate the conditions governing slug formation and to enable its rapid and accurate prediction.A systematic review of existing research is first undertaken to clarify the mechanisms responsible for slug initiation.The influences of gas superficial velocity,liquid velocity,liquid viscosity,liquid surface tension,and the axial component of gravity are examined to characterize their roles in interfacial instability and flow transition.Then,the effects of temperature,total flow rate,water cut,gas-liquid ratio,and pipeline inclination angle are quantitatively assessed,revealing the dominant trends that promote or inhibit slug development.Building on this foundation,a comprehensive three-phase oil-gas-water flow model is constructed.Numerical simulations are performed for 243 operating conditions encompassing a broad range of temperatures,water cuts,gas-liquid ratios,liquid flow rates,and inclination angles.These simulated cases constitute the training dataset for nine machine learning algorithms.To evaluate generalization performance,108 additional randomly generated operating conditions are predicted,covering temperatures of 80–150◦C,water cuts of 40–90%,gas-liquid ratios of 3–30,liquid flow rates of 100–200 t/d,and inclination angles of 5–15.Comparative validation reveals marked differences in predictive accuracy.The BP neural network achieves the highest accuracy,95%,substantially outperforming XGBoost,83.3%,Random Forest and Decision Tree,81.5%,Logistic Regression and Support Vector Machine,80.6%,K-Nearest Neighbor and Naive Bayes 78.7%,and K-Means,63%.Overall,the BP neural network demonstrates superior robustness and precision in predicting previously unseen operating conditions,effectively combining the physical consistency of mechanistic modeling with the efficiency and adaptability of machine learning approaches.展开更多
Interregional supply chains are associated with large carbon emissions,resulting in regional inequalities and sustainable development challenges.Quantifying interregional carbon flow is essential for setting equitable...Interregional supply chains are associated with large carbon emissions,resulting in regional inequalities and sustainable development challenges.Quantifying interregional carbon flow is essential for setting equitable carbon reduction targets and ensuring fairness among regions.However,as China advances its industrial transformation,the effects of industrial structural changes on regional carbon flow through supply chains remain insufficiently understood.Using Shanghai from 2012 to 2017 as a case study,this research investigates spatial patterns,sectoral characteristics and driving forces of carbon flow within interregional supply chains.Results reveal a 46.9%decrease in carbon inflows and a 70.2%increase in outflows,particularly to high-tech regions,indicating Shanghai's transition from a downstream recipient to an upstream supplier in industrial networks.Reduced inflows were mainly driven by decreased carbon intensity in northern energy and metal sectors,whereas increased outflows were associated with growing demand from southern equipment and construction industries.Energy structure optimization contributed to over 75%of carbon flow reductions,while increased carbon intensity in the digital economy accounted for only around 10%,insufficient to alter flow pathways.The findings indicates that industrial restructuring can support regional climate mitigation.As a pilot carbon trading cities with relatively low environmental cost,Shanghai can collaborate with other regions through carbon markets along key carbon pathways,leveraging financial resources for low-carbon technologies and promoting supply chain-wide emission reduction.This study provides a framework for designing targeted,region-specific mitigation strategies that align with the dynamics of industrial supply chains and contribute to equitable carbon reduction efforts.展开更多
基金support provided by the National Natural Science Foundation of China[Grant No.72204202]2025 Annual Research Program of the China Society for Commercial Statistics[Grant No.2025STY10]General Project of Philosophy Society in Jiangsu Province Universities[Grant Nos.2023SJYB0923 and 2025SJYB0708].
文摘Against the backdrop of accelerated development of new forms of trade,the question of whether rapid expansion of cross-border e-commerce(CBEC)can help to reduce carbon emissions among Chinese enterprises is of great significance for seizing new opportunities in foreign trade,and advancing firms’green and low-carbon transformation.This study treats the creation of CBEC pilot zones as a quasi-natural experiment,employing panel data from Chinese A-share listed companies matched with city-level information from 2006 to 2021.We construct a multi-period difference-in-differences model to identify the impact of CBEC pilot zone policy on corporate carbon emissions.Our findings indicate the construction of these pilot zones significantly reduces firms’carbon emissions intensity,and the results are robust across multiple tests.We show the pilot zone initiative contributes to emission reductions by enhancing the adoption of digital infrastructure,promoting green technological innovation,and increasing environmental awareness among enterprises.Quantile regressions reveal pilot zones exert a more pronounced carbon-reduction effect on firms characterized by high carbon emissions intensity and advanced levels of digital transformation.Moreover,the policy effect is especially significant in heavily polluting industries,and regions with weaker governmental environmental regulations or lower public environmental concerns.This study makes an innovative contribution to the literature by empirically verifying the environmental governance effect of establishing CBEC pilot zones,and offers practical guidance for governments in formulating cross-border e-commerce policies and for enterprises pursuing low carbon development.
基金This paper is a phased result of the“Research on the Issue of China’s Data Export System”(24SFB3035)a research project of the Ministry of Justice of China on the construction of the rule of law and the study of legal theories at the ministerial level in 2024.
文摘The Fourth Industrial Revolution has endowed the concept of state sovereignty with new era-specific connotations,leading to the emergence of the theory of data sovereignty.While countries refine their domestic legislation to establish their data sovereignty,they are also actively engaging in the negotiation of cross-border data flow rules within international trade agreements to construct data sovereignty.During these negotiations,countries express differing regulatory claims,with some focusing on safeguarding sovereignty and protecting human rights,some prioritizing economic promotion and security assurance,and others targeting traditional and innovative digital trade barriers.These varied approaches reflect the tension between three pairs of values:collectivism and individualism,freedom and security,and tradition and innovation.Based on their distinct value pursuits,three representative models of data sovereignty construction have emerged globally.At the current juncture,when international rules for digital trade are still in their nascent stages,China should timely establish its data sovereignty rules,actively participate in global data sovereignty competition,and balance its sovereignty interests with other interests.Specifically,China should explore the scope of system-acceptable digital trade barriers through free trade zones;integrate domestic and international legal frameworks to ensure the alignment of China’s data governance legislation with its obligations under international trade agreements;and use the development of the“Digital Silk Road”as a starting point to prioritize the formation of digital trade rules with countries participating in the Belt and Road Initiative,promoting the Chinese solutions internationally.
基金This article is supported by Law and Technology Institute,Renmin University of China.All mistakes and omissions are the responsibility of the author.
文摘In the context of today's big data and cloud computing,the global flow of data has become a powerful driver for international economic and investment growth.The EU and the U.S.have created two different paths for the legal regulation of the cross-border flow of personal data due to their respective historical traditions and realistic demands.The requirements for data protection have shown significant differences.The EU advocates localization of data and firmly restricts cross-border flow of personal data.The U.S.tends to protect personal data through industry self-regulation and government law enforcement.At the same time,these two paths also merge and supplement with each other.Based on this,China needs to learn from the legal regulatory paths of the EU and the US,respectively,to establish a legal idea that places equal emphasis on personal data protection and the development of the information industry.In terms of domestic law,the Cybersecurity Law of the People's Republic of China needs to be improved and supplemented by relevant supporting legislation to improve the operability of the law;the industry self-discipline guidelines should be established;and various types of cross-border data need to be classified and supervised.In terms of international law,it is necessary to participate in international cooperation based on the priority of data sovereignty and promote the signing of bilateral,multilateral agreements,and international treaties on the cross-border flow of personal data.
文摘The phenomenon of global fragmented production and associated trade in intermediate products,including intangible assets,has changed how economists study globalization and how new public policies are shaped.Understanding cross-border flows of disembodied knowledge,often associated with intellectual property(IP),is essential for analyzing how modern economies operate.Available data to document these international IP-related knowledge flowsdnamely cross-border payments for IPdare distorted by various factors.Tax planning by multinational enterprises has seriously distorted the measurement of cross-border IP flows,affecting national measurements of imports,exports,GDP,and productivity.The tax-induced mismeasurement could be more than 35% of global charges for use of intellectual property,and greater for individual countries,particularly high-taxrate countries.International initiatives to address the effects of tax base erosion,profit shifting,and other statistical initiatives on global value chains will improve future measurements of cross-border IP flows,improving the understanding of both the creation and uses of IP.
基金sponsored by the Natural Science Foundation of China(NSFC)2018 Emergency Management Project“Exchange Rate Market Variation,Cross-Border Capital Flow and Financial Risk Prevention”(Grant No.71850005)the NSFC Youth Program“Dynamic Estimation of Foreign Exchange Market Pressure in the Process of Capital Account Opening and Evaluation of the Central Bank’s Intervention Policy Effects”(Grant No.71803204).
文摘Based on the global asset portfolio model,this paper created a panel threshold model using EPFR fund data to empirically test the non-linear spillover effects of US economic policy uncertainties on cross-border capital flow for emerging economies.Our study led to the following findings:(1)When the level of global investor risk tolerance is high,rising US EPU will induce a capital inflow into emerging economies,as manifested in the“portfolio rebalancing effect.”When the level of global investor risk tolerance is below a critical threshold,this gives rise to risk aversion and emerging economies will experience net capital outflow,i.e.the“flight to quality effect”.(2)Equity fund investors have a lower risk tolerance threshold than bond fund investors.(3)According to our heterogeneity analysis,more attention should be paid to monitoring capital flow through actively managed funds,ETF funds,and retail investor funds.The economy should increase financial efficiency and economic resiliency to mitigate capital outflow pressures from the external environment.
文摘Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”
文摘Cross-border e-commerce has emerged as a new growth point in foreign trade.While the Dalian comprehensive pilot zone has made some progress,its development is constrained by issues such as the global economic slowdown,the relatively small scale of cross-border e-commerce,a high concentration of export commodities,imperfect information mechanisms,and high overall costs.To address these challenges,this paper explores the importance of the construction of the Dalian comprehensive pilot zone for cross-border e-commerce to the transformation and upgrading of exports.Based on my research project,“Research on Path Optimization of Financial Support for the Development of Advanced Manufacturing Clusters in Dalian,”this paper analyzes the current challenges and limiting factors and proposes corresponding countermeasures and suggestions.
基金a preliminary result of the Chinese Government Scholarship High-level Graduate Program sponsored by China Scholarship Council(Program No.CSC202206310052)。
文摘The digital development rights in developing countries are based on establishing a new international economic order and ensuring equal participation in the digital globalization process to achieve people's well-rounded development in the digital society.The relationship between cross-border data flows and the realization of digital development rights in developing countries is quite complex.Currently,developing countries seek to safeguard their existing digital interests through unilateral regulation to protect data sovereignty and multilateral regulation for cross-border data cooperation.However,developing countries still have to face internal conflicts between national digital development rights and individual and corporate digital development rights during the process of realizing digital development rights.They also encounter external contradictions such as developed countries interfering with developing countries'data sovereignty,developed countries squeezing the policy space of developing countries through dominant rules,and developing countries having conflicts between domestic and international rules.This article argues that balancing openness and security on digital trade platforms is the optimal solution for developing countries to realize their digital development rights.The establishment of WTO digital trade rules should inherently reflect the fundamental demands of developing countries in cross-border data flows.At the same time,given China's dual role as a digital powerhouse and a developing country,it should actively promote the realization of digital development rights in developing countries.
文摘Against the backdrop of economic globalization and the rapid growth of cross-border e-commerce,the overseas expansion of smart home products heavily relies on the translation quality of technological elements within marketing copy.This paper focuses on four core technological elements in smart home marketing copy on cross-border e-commerce platforms.Using Skopos Theory as a framework,it analyzes translation difficulties such as inconsistent terminology and imbalance between technical precision and accessibility.It constructs a five-dimensional translation strategy,“Precision+Accessibility+Localization+Structuring+Standardization”,and validates its effectiveness.This provides guidance for enterprises to enhance overseas marketing efficiency and enriches the research value of translation in the cross-border e-commerce vertical field.
文摘To investigate the influence of Al-Zn-Mg-Cu alloy with as-homogenized and as-rolled initial microstructures on the tensile flow behavior,isothermal tensile tests were conducted on a GLEEBLE-3500 isothermal simulator at temperatures of 380-440℃and strain rates of 0.05-1 s^(−1).The Johnson-Cook model,Hensel-Spittel model,strain-compensated Arrhenius model,and critical fracture strain model were established.Results show that through the evaluation of the models using the correlation coefficient(R)and the average absolute relative error,the strain-compensated Arrhenius model can represent the flow behavior of the alloy more accurately.Shear bands are more pronounced in the as-homogenized specimens,whereas dynamic recrystallization is predominantly observed in as-rolled specimens.Fracture morphology analysis reveals that a mixed fracture mechanism is prevalent in the as-homogenized specimen,whereas a ductile fracture mechanism is predominant in the as-rolled specimen.The processing maps indicate that the unstable region is reduced in the as-rolled specimens compared with that in the as-homogenized specimens.The optimal hot working windows for the as-homogenized and as-rolled specimens are determined as 410-440℃/0.14-1 s^(−1)and 380-400℃/0.05-0.29 s^(−1),respectively.
基金supported by the University of Seoul’s 2025 Research Fund.
文摘Vanadium redox flow batteries(VRFBs)are a means of large-scale energy storage due to their excellent scalability,safety,long cycling life,and decoupled power and energy capacities.However,the slow redox kinetics of vanadium species on conventional carbon electrodes remains a major limitation to their performance.We investigated the deposition of carbon black,carbon nanotubes,and electrochemically exfoliated graphene(Exf-Gr)onto thermally-activated carbon paper(ACP)by spray coating to increase the electrode electrocatalytic activity.The modified electrodes were characterized using scanning electron microscopy,X-ray diffraction,Raman spectroscopy,X-ray photoelectron microscopy,and surface area analysis,while their electrochemical properties were evaluated by cyclic voltammetry,electrochemical impedance spectroscopy,and singlecell VRFB testing.Among the modified electrodes,Exf-Gr/ACP had the best performance,achieving a 2.9-fold reduction in charge transfer resistance compared to pristine ACP and delivering 2.5 times the discharge capacity in single-cell tests.This improvement is attributed to Exf-Gr’s high surface area,favorable catalytic activity,and excellent dispersion on the ACP substrate.Surface modification with electrochemically exfoliated graphene is a highly effective strategy for improving the electrode performance in VRFB systems,with significant implications for large-scale energy storage.
基金supported by the National Natural Science Foundation of China(NSFC)Basic Science Center Program for‘Multiscale Problems in Nonlinear Mechanics’(Grant No.11988102)NSFC project(Grant No.11972038)Chinese Academy of Sciences Project for Young Scientists in Basic Research(Grant No.YSBR-087).
文摘Large-eddy simulation(LES)is conducted to study the statistical properties of mixed-phase turbulence induced by the breaking of bow waves in flow past a partially submerged plate.The simulation is performed using a finite difference method,with the air-water interface captured by a coupled level-set and volume-of-fluid method.Four cases are conducted to investigate the effects of Froude number on turbulent statistics,including the mean velocity,turbulence kinetic energy,and turbulence mass flux(TMF),which is an additional unclosed term in the Reynolds-averaged momentum equation.The TMF,especially its vertical component,shows a complex behaviour with respect to the Froude number.This property of the TMF imposes high demands on the robustness of the closure model of TMF.The present LES data is further used to examine a closure model of the TMF production term,which shows a high correlation with the data obtained from LES.
基金supported by the National Science and Technology Major Project,China(No.J2019-Ⅱ-0012-0032)。
文摘Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's performance.The multiscale mixing phenomenon in a typical high-pressure turbine rotor flow was studied in this work.The contributions of various scale flows to entropy production and mixing properties were identified.The corresponding physical mechanisms at different scales were explored.It is shown that the large-scale and time-averaged flow contributions to mixing are significant,accounting for approximately 37.1% and 25% of the total.Time-averaged and large-scale flows cause the majority of the fluid deformation of the material surface,while mesoand small-scale flows just generate finer deformations.It raises the area stretch coefficient and the virtual concentration gradient.Thus,mixing is enhanced.Furthermore,time-averaged and large-scale flows account for the majority of the losses in the upstream and downstream regions of the blade tip respectively,accounting for approximately 53.8%and 33.5%of the total.The sheet-like structures—rather than the tip leaking vortex—are the primary source of the loss.High-dissipation regions are produced by the sheet-like structures via the pressure Hessian term and the self-amplification terms.
基金support from the National Natural Science Foundation of China(No.52174305).
文摘A 3D mathematical model was established to investigate the gas-liquid two-phase flow in Ruhrstahl-Heraeus(RH)vacuum refining process.The flow characteristics of molten steel were calculated using the coupled standard k-εmodel and volume of fluid model.The bubble distribution was tracked by discrete phase model.Electromagnetic field was applied in the up-leg snorkel to enhance the effect of vacuum refining.The effect of swirling flow nozzles combined with electromagnetic stirring(EMS)on the flow characteristics of molten steel and bubble distribution was analyzed.The erosion of the up-leg snorkel was compared.The results show that when the swirling flow nozzles are used,the bubbles exhibit a distinct adherent rising behavior,and the refining efficiency decreases.In addition,the electromagnetic field can significantly improve the refining efficiency,but it brings stronger erosion to the up-leg snorkel.Nevertheless,when using the swirling flow nozzles combined with EMS,the refining performance is further optimized,and the erosion of the up-leg snorkel is also reduced due to its characteristic of bubble distribution.Compared to conventional nozzles,the mixing time was shortened by 16.2%,the recirculation rate increased by 12.5%.and the swirling intensity was strengthened by 8.9%.
基金funded by the Hubei Provincial Department of Education Science and Technology Plan Project(Young and Middle-aged Talent Program)(https://jyt.hubei.gov.cn/),grant number Q20241308the National Natural Science Foundation of China(https://www.nsfc.gov.cn/),grant number 52174064.
文摘Slug flow represents one of the most critical and operationally challenging regimes in oil-gas-water multiphase pipelines.To advance both mechanistic understanding and predictive capability,this study integrates physical analysis with data-driven modeling to elucidate the conditions governing slug formation and to enable its rapid and accurate prediction.A systematic review of existing research is first undertaken to clarify the mechanisms responsible for slug initiation.The influences of gas superficial velocity,liquid velocity,liquid viscosity,liquid surface tension,and the axial component of gravity are examined to characterize their roles in interfacial instability and flow transition.Then,the effects of temperature,total flow rate,water cut,gas-liquid ratio,and pipeline inclination angle are quantitatively assessed,revealing the dominant trends that promote or inhibit slug development.Building on this foundation,a comprehensive three-phase oil-gas-water flow model is constructed.Numerical simulations are performed for 243 operating conditions encompassing a broad range of temperatures,water cuts,gas-liquid ratios,liquid flow rates,and inclination angles.These simulated cases constitute the training dataset for nine machine learning algorithms.To evaluate generalization performance,108 additional randomly generated operating conditions are predicted,covering temperatures of 80–150◦C,water cuts of 40–90%,gas-liquid ratios of 3–30,liquid flow rates of 100–200 t/d,and inclination angles of 5–15.Comparative validation reveals marked differences in predictive accuracy.The BP neural network achieves the highest accuracy,95%,substantially outperforming XGBoost,83.3%,Random Forest and Decision Tree,81.5%,Logistic Regression and Support Vector Machine,80.6%,K-Nearest Neighbor and Naive Bayes 78.7%,and K-Means,63%.Overall,the BP neural network demonstrates superior robustness and precision in predicting previously unseen operating conditions,effectively combining the physical consistency of mechanistic modeling with the efficiency and adaptability of machine learning approaches.
基金supported by the National Natural Science Foundation of China[grant numbers 52270185,41971257].
文摘Interregional supply chains are associated with large carbon emissions,resulting in regional inequalities and sustainable development challenges.Quantifying interregional carbon flow is essential for setting equitable carbon reduction targets and ensuring fairness among regions.However,as China advances its industrial transformation,the effects of industrial structural changes on regional carbon flow through supply chains remain insufficiently understood.Using Shanghai from 2012 to 2017 as a case study,this research investigates spatial patterns,sectoral characteristics and driving forces of carbon flow within interregional supply chains.Results reveal a 46.9%decrease in carbon inflows and a 70.2%increase in outflows,particularly to high-tech regions,indicating Shanghai's transition from a downstream recipient to an upstream supplier in industrial networks.Reduced inflows were mainly driven by decreased carbon intensity in northern energy and metal sectors,whereas increased outflows were associated with growing demand from southern equipment and construction industries.Energy structure optimization contributed to over 75%of carbon flow reductions,while increased carbon intensity in the digital economy accounted for only around 10%,insufficient to alter flow pathways.The findings indicates that industrial restructuring can support regional climate mitigation.As a pilot carbon trading cities with relatively low environmental cost,Shanghai can collaborate with other regions through carbon markets along key carbon pathways,leveraging financial resources for low-carbon technologies and promoting supply chain-wide emission reduction.This study provides a framework for designing targeted,region-specific mitigation strategies that align with the dynamics of industrial supply chains and contribute to equitable carbon reduction efforts.
